Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem

This paper proposes an artificial bee colony (ABC) algorithm for solving optimal power flow (OPF) problem. The objective of the OPF problem is to minimize total cost of thermal units while satisfying the unit and system constraints such as generator capacity limits, power balance, line flow limits,...

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Main Authors: Luong Le Dinh, Dieu Vo Ngoc, Pandian Vasant
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/159040
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author Luong Le Dinh
Dieu Vo Ngoc
Pandian Vasant
author_facet Luong Le Dinh
Dieu Vo Ngoc
Pandian Vasant
author_sort Luong Le Dinh
collection DOAJ
description This paper proposes an artificial bee colony (ABC) algorithm for solving optimal power flow (OPF) problem. The objective of the OPF problem is to minimize total cost of thermal units while satisfying the unit and system constraints such as generator capacity limits, power balance, line flow limits, bus voltages limits, and transformer tap settings limits. The ABC algorithm is an optimization method inspired from the foraging behavior of honey bees. The proposed algorithm has been tested on the IEEE 30-bus, 57-bus, and 118-bus systems. The numerical results have indicated that the proposed algorithm can find high quality solution for the problem in a fast manner via the result comparisons with other methods in the literature. Therefore, the proposed ABC algorithm can be a favorable method for solving the OPF problem.
format Article
id doaj-art-b6e0134ce7624dee92ddc42443f5a5d1
institution Kabale University
issn 1537-744X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-b6e0134ce7624dee92ddc42443f5a5d12025-02-03T01:33:06ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/159040159040Artificial Bee Colony Algorithm for Solving Optimal Power Flow ProblemLuong Le Dinh0Dieu Vo Ngoc1Pandian Vasant2Faculty of Mechanical, Electrical and Electronic Engineering, HCMC University of Technology (HUTECH), Ho Chi Minh City, VietnamDepartment of Power Systems, HCMC University of Technology (HCMUT), Ho Chi Minh City, VietnamUniversity Technology Petronas, 31750 Tronoh, Perak, MalaysiaThis paper proposes an artificial bee colony (ABC) algorithm for solving optimal power flow (OPF) problem. The objective of the OPF problem is to minimize total cost of thermal units while satisfying the unit and system constraints such as generator capacity limits, power balance, line flow limits, bus voltages limits, and transformer tap settings limits. The ABC algorithm is an optimization method inspired from the foraging behavior of honey bees. The proposed algorithm has been tested on the IEEE 30-bus, 57-bus, and 118-bus systems. The numerical results have indicated that the proposed algorithm can find high quality solution for the problem in a fast manner via the result comparisons with other methods in the literature. Therefore, the proposed ABC algorithm can be a favorable method for solving the OPF problem.http://dx.doi.org/10.1155/2013/159040
spellingShingle Luong Le Dinh
Dieu Vo Ngoc
Pandian Vasant
Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
The Scientific World Journal
title Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
title_full Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
title_fullStr Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
title_full_unstemmed Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
title_short Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem
title_sort artificial bee colony algorithm for solving optimal power flow problem
url http://dx.doi.org/10.1155/2013/159040
work_keys_str_mv AT luongledinh artificialbeecolonyalgorithmforsolvingoptimalpowerflowproblem
AT dieuvongoc artificialbeecolonyalgorithmforsolvingoptimalpowerflowproblem
AT pandianvasant artificialbeecolonyalgorithmforsolvingoptimalpowerflowproblem